Building intelligent engineering security monitoring method and system

Abstract

The invention discloses a building intelligent engineering security monitoring method and system, and relates to the technical field of security monitoring, and the method comprises the steps: carrying out the information collection and recording of building workers on a to-be-detected construction site, and obtaining a building worker information data set; carrying out regional division on the to-be-measured construction site to obtain a construction site regional division result; the method comprises the following steps: detecting the real-time position of each building worker on a to-be-detected construction site to obtain real-time personnel position information, judging the danger degree of the position where each building worker is located based on the real-time personnel position information to obtain a real-time position danger coefficient AS, and judging the activity content information of each building worker according to personnel rest time information; judging whether the real-time personnel position information of each building worker is matched with the activity content information or not to obtain a personnel position matching influence coefficient AP; detecting the influence of the construction environment of each area on the personal safety of building workers to obtain the construction environment influence coefficient BV of each area; the method has the effect of improving the building intelligent engineering security and protection monitoring efficiency.

Description

Technical Field

[0001] The present application relates to the field of security monitoring technology, and in particular to a security monitoring method and system for intelligent building projects. Background Art

[0002] At present, construction projects refer to the planning, investigation, design, construction, completion and other technical work and completed engineering entities for the construction, reconstruction or expansion of buildings and ancillary structures and facilities, as well as the installation of supporting lines, pipelines and equipment. It also refers to the construction of various houses and buildings, also known as construction workload. This part of the investment must be started and materials moved, and can only be realized through construction activities. In daily life, the safety of workers on construction sites is not high, so it is very important to carry out security monitoring of construction projects.

[0003] The existing security monitoring method for intelligent building projects refers to monitoring construction workers based on camera devices to determine whether the construction workers are wearing safety belts and the safety of the construction workers. If the construction workers are not wearing safety belts, the construction workers are urged to wear them. However, the existing security monitoring method for intelligent building projects does not take into account that when construction workers appear in areas where workers of their type should not appear, there may be operational errors that pose a threat to the personal safety of construction workers. The safety of construction workers is low, and the efficiency of security monitoring for intelligent building projects is low, and there is room for improvement. Summary of the invention

[0004] In order to improve the efficiency of security monitoring of building intelligent projects, the present application provides a method and system for security monitoring of building intelligent projects.

[0005] In the first aspect, the present application provides a method for security monitoring of intelligent building projects, which adopts the following technical solutions:

[0006] A security monitoring method for intelligent building engineering, comprising:

[0007] Collect and input information of construction workers on the construction site to be tested to obtain a construction worker information data set;

[0008] Divide the construction site to be tested into regions to obtain a construction site region division result;

[0009] Detect the real-time position of each construction worker on the construction site to be tested to obtain real-time personnel position information, determine the danger level of each construction worker's position based on the real-time personnel position information to obtain the real-time position danger coefficient AS, determine the activity content information of each construction worker based on the personnel work and rest time information, determine whether the real-time personnel position information of each construction worker matches the activity content information, and obtain the personnel position matching influence coefficient AP;

[0010] Based on the results of the construction site area division, the impact of the construction environment in each area on the personal safety of construction workers is detected to obtain the construction environment impact coefficient BV of each area;

[0011] Based on the construction site area division results, the impact of the meteorological environment in each area on the personal safety of construction workers is detected to obtain the meteorological environment impact coefficient CY of each area;

[0012] According to the real-time personnel position information of each construction worker, the construction environment impact coefficient BV of each area and the meteorological environment impact coefficient CY of each area, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY' of each construction worker are determined; according to the real-time position danger coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY', the activity danger coefficient W of the construction worker is obtained;

[0013] According to the activity risk factor W of the construction workers on the construction site to be tested, it is determined whether there are any construction workers in danger on the construction site to be tested. If so, a personnel danger signal is output and sent to the background monitoring system to rescue the construction workers in danger.

[0014] Preferably, an image acquisition device is obtained and a signal connection is established between the image acquisition device and the image acquisition device to be tested, and facial information of construction workers on the construction site to be tested is collected and input based on the image acquisition device to obtain facial information of authorized personnel;

[0015] Acquire a fingerprint sensor and establish a signal connection between the fingerprint sensor and the construction site to be tested, and collect and input fingerprint information of construction workers on the construction site to be tested based on the fingerprint sensor to obtain fingerprint information of authorized personnel;

[0016] Collect information about the positions of construction workers on the construction site to be tested to obtain the authorized personnel position information of each construction worker;

[0017] A personal information dataset of each construction worker on the construction site to be tested is created based on the authorized personnel's facial information, authorized personnel's fingerprint information, and authorized personnel's position information, wherein the personal information datasets of all construction workers on the construction site to be tested are combined to form a construction worker information dataset.

[0018] Preferably, the construction site to be tested is preliminarily divided according to function to obtain a preliminary division result of the construction site, wherein the preliminary division result of the construction site includes a construction area, an office management area, a living activity area, and an auxiliary operation area;

[0019] Based on the construction content of each area in the preliminary division result of the construction site, each area in the preliminary division result of the construction site is further divided to obtain the regional division result of the construction site; wherein the construction area includes the foundation construction area, the main structure construction area, the decoration and renovation construction area, the mechanical and electrical installation area, and the waterproofing construction area; the office management area includes the project management office, the conference room, the data room, and the rest area; the living and activity area includes the dormitory area, the canteen, the bathroom, and the entertainment facilities; the auxiliary operation area includes the temporary processing site, the equipment maintenance area, the material storage area, and the waste recycling area.

[0020] Preferably, facial photographs are taken of each construction worker on the construction site to be tested to obtain facial photographed image information, and the facial photographed image information is matched with the facial information of the authorized person, and if the facial photographed image information matches the facial information of the authorized person, a facial matching consistent result is output;

[0021] Detect and identify the fingerprints of each construction worker on the construction site to be tested to obtain fingerprint detection information, match the fingerprint detection information with the fingerprint information of the authorized person, and output the fingerprint matching result if the fingerprint detection information matches the fingerprint information of the authorized person;

[0022] Obtaining a logic OR gate and establishing a signal connection between the logic OR gate and the construction site to be tested, and outputting a successful identity recognition result based on the logic OR gate receiving the facial matching consistent result or the fingerprint matching consistent result;

[0023] Based on the successful result of identity recognition, the positions of each construction worker on the construction site to be tested are detected in real time to obtain the real-time personnel position information of each construction worker;

[0024] According to the real-time position information of each construction worker, the object falling risk at the position of each construction worker is determined to obtain the object falling risk coefficient AR;

[0025] The risk of falling from a height at the location of each construction worker is determined according to the real-time location information of each construction worker to obtain a height-falling risk coefficient AZ;

[0026] According to the object falling risk factor AR and the height falling risk factor AZ, the real-time position risk factor AS is calculated based on the position risk relationship function AS=a1×AR+a2×AZ, where a1 and a2 are proportional factors and are both greater than 0;

[0027] Obtain the work and rest schedule of each construction worker on the construction site to be tested to obtain personnel work and rest schedule information, and determine the activity content information of each construction worker on the construction site to be tested based on the personnel work and rest schedule information of each construction worker on the construction site to be tested and the position information of the authorized personnel;

[0028] Based on the activity content information of each construction worker and the results of the construction site area division, the suitable existence area of ​​each construction worker is determined, and the suitable existence area of ​​each construction worker is matched with the real-time personnel location information corresponding to the construction worker to determine whether the real-time personnel location information of the construction worker is within the suitable existence area. If it is within the suitable existence area, the personnel location matching influence coefficient AP is 0. If it is not within the suitable existence area, the personnel location matching influence coefficient AP is 1.

[0029] Preferably, based on the construction site area division result, a noise detector is obtained and installed in each area of ​​the construction site to be tested, and the noise detector detects the noise of each area of ​​the construction site to be tested in real time to obtain regional noise information of each area;

[0030] The regional noise information of each area is compared with the preset human noise tolerance threshold information. If the regional noise information is greater than the preset human noise tolerance threshold information, the difference between the regional noise information and the preset human noise tolerance threshold information is calculated to obtain a noise difference value. Based on the noise difference value, the impact of the noise in each area on the personal safety of construction workers in each area is judged to obtain a noise risk coefficient BZ. If the regional noise information is less than or equal to the preset human noise tolerance threshold information, the noise risk coefficient BZ is 0;

[0031] Based on the construction site area division result, a dust monitor is obtained and installed in each area of ​​the construction site to be tested, and the dust concentration of each area of ​​the construction site to be tested is detected in real time by the dust monitor to obtain the particle concentration information of each area;

[0032] The particle concentration information of each area is compared with a preset particle concentration threshold. If the particle concentration information is greater than the preset particle concentration threshold, the difference between the particle concentration information and the preset particle concentration threshold is calculated to obtain a particle concentration difference. Based on the particle concentration difference, the influence of the particle concentration of each area on the personal safety of construction workers in each area is judged to obtain a particle hazard coefficient BK. If the particle concentration information is less than or equal to the preset particle concentration threshold, the particle hazard coefficient BK is 0.

[0033] According to the noise hazard coefficient BZ and the particulate matter hazard coefficient BK, the construction environment impact coefficient BV of each area of ​​the construction site to be tested is calculated based on the construction environment hazard relationship function BV=b1×BZ+b2×BK, where b1 and b2 are proportional factors and are both greater than 0.

[0034] Preferably, based on the construction site area division result, the position of each area of ​​the construction site to be measured is judged for the meteorological environment influence of each area of ​​the construction site to be measured to obtain the meteorological influence weight ratio p of each area;

[0035] Real-time detection of the meteorological environment of the construction site to be tested to obtain meteorological environment information, wherein the meteorological environment information includes wind speed information, wind force information, and rainfall intensity information;

[0036] Based on the wind speed information, the influence of the wind speed on the construction site to be tested on the personal safety of the construction workers is determined to obtain the wind speed influence coefficient CS, wherein the greater the wind speed, the greater the wind speed influence coefficient CS;

[0037] Based on the wind information, the influence of the wind force on the construction site to be tested on the personal safety of the construction workers is determined to obtain the wind force influence coefficient CL, wherein the greater the wind force, the greater the wind force influence coefficient CL;

[0038] Based on the rainfall intensity information, the influence of the rainfall intensity on the construction site to be tested on the personal safety of the construction workers is determined to obtain the rainfall intensity influence coefficient CJ. When there is no rainfall on the construction site to be tested, the rainfall intensity influence coefficient CJ is 0. The greater the rainfall intensity, the greater the rainfall intensity influence coefficient CJ.

[0039] According to the location meteorological impact weight ratio p, wind speed influence coefficient CS, wind force influence coefficient CL and rainfall intensity influence coefficient CJ, the meteorological environment impact coefficient CY of each area of ​​the construction site to be tested is calculated based on the meteorological environment hazard relationship function CQ=p×(c1×CS+c2×CL+c3×CJ), where c1, c2, and c3 are proportional factors and are all greater than 0.

[0040] Preferably, according to the real-time personnel location information of each construction worker and the construction environment impact coefficient BV of each area, the construction environment impact coefficient BV of the area where each construction worker is located is recorded as the personnel construction environment impact coefficient BV';

[0041] According to the real-time personnel location information of each construction worker and the meteorological environment impact coefficient CY of each area, the meteorological environment impact coefficient CY of the area where each construction worker is located is recorded as the personnel meteorological environment impact coefficient CY';

[0042] According to the real-time position hazard coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment influence coefficient BV' and the personnel meteorological environment influence coefficient CY', the activity hazard coefficient W of each construction worker in the construction site to be tested is obtained based on the personnel hazard relationship function W = ξ1×AS+ξ2×AP+ξ3×BV'+ξ4×CY', where ξ1, ξ2, ξ3, and ξ4 are proportional factors and are all greater than 0.

[0043] Preferably, the activity risk coefficient W of each construction worker is compared with a preset activity risk threshold W' to obtain a risk coefficient comparison result;

[0044] Based on the comparison result of the danger coefficient, if the activity danger coefficient W of the construction worker is less than the preset activity danger threshold W', it is determined that the construction worker is not in danger; if the activity danger coefficient W of the construction worker is greater than or equal to the preset activity danger threshold W', it is determined that the construction worker is in danger, a personnel danger signal is output, and the real-time personnel location information of the construction worker is marked as dangerous personnel location information;

[0045] Acquire a wireless communication module and establish a signal connection link between the wireless communication module and the construction site to be tested;

[0046] Sending the personnel danger signal and the dangerous personnel location information to the background monitoring system based on the wireless communication module;

[0047] After receiving the personnel danger signal and the dangerous personnel location information, the rescue personnel rush to the location of the dangerous construction worker to perform rescue based on the dangerous personnel location information.

[0048] In the second aspect, the present application provides a building intelligent engineering security monitoring system, which adopts the following technical solutions:

[0049] A building intelligent engineering security monitoring system, comprising:

[0050] A personnel information collection module is configured to collect information of construction workers on the construction site to be tested and obtain a data set of construction worker information;

[0051] A region division module is configured to divide the construction site to be tested into regions to obtain a construction site region division result;

[0052] The personnel position analysis module is configured to detect the real-time position of each construction worker on the construction site to be tested to obtain real-time personnel position information, determine the danger level of each construction worker's position based on the real-time personnel position information to obtain the real-time position danger coefficient AS, determine the activity content information of each construction worker based on the personnel work and rest time information, determine whether the real-time personnel position information of each construction worker matches the activity content information, and obtain the personnel position matching influence coefficient AP;

[0053] The construction environment impact analysis module is configured to detect the impact of the construction environment of each area on the personal safety of construction workers based on the construction site area division result to obtain the construction environment impact coefficient BV of each area;

[0054] The meteorological environment impact analysis module is configured to detect the impact of the meteorological environment of each area on the personal safety of construction workers based on the construction site area division result to obtain the meteorological environment impact coefficient CY of each area;

[0055] The personnel danger level analysis module is configured to determine the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY' of each construction worker according to the real-time personnel position information of each construction worker, the construction environment impact coefficient BV of each area, and the meteorological environment impact coefficient CY of each area, and obtain the activity danger coefficient W of the construction worker according to the real-time position danger coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY';

[0056] The communication rescue module is configured to determine whether there are construction workers in danger on the construction site to be tested based on the activity risk coefficient W of the construction workers on the construction site to be tested. If so, it outputs a personnel danger signal and sends the personnel danger signal to the background monitoring system to rescue the construction workers in danger.

[0057] In summary, the present application includes at least one of the following beneficial technical effects:

[0058] The facial photography and fingerprint detection and identification of each construction worker on the construction site to be tested are carried out, and the identity of the personnel on the construction site to be tested is carried out, which improves the accuracy of personnel identity identification. After successful identity identification, the position of each construction worker is detected in real time to obtain real-time personnel position information, and the object falling risk factor AR and the height falling risk factor AZ of each construction worker's position are judged based on the real-time personnel position information, and then the real-time position risk factor AS is obtained, which improves the detection accuracy of the real-time position risk factor AS of the construction workers, and the activity content information of each construction worker is determined based on the personnel work and rest time information of each construction worker and the position information of the authorized personnel, and then it is judged whether each construction worker is in a suitable area to obtain the personnel position matching influence coefficient AP, which provides data support for subsequent safety detection of construction workers, thereby improving the security monitoring efficiency of building intelligent projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 This is a flow chart of the method for security monitoring of intelligent building projects mainly embodied in this embodiment;

[0060] Figure 2 This is a schematic diagram of the modules of the security monitoring system for intelligent building projects mainly embodied in this embodiment.

[0061] Figure numerals: 1. Personnel information collection module; 2. Area division module; 3. Personnel location analysis module; 4. Construction environment impact analysis module; 5. Meteorological environment impact analysis module; 6. Personnel danger level analysis module; 7. Communication rescue module. DETAILED DESCRIPTION

[0062] The present application is further described in detail below in conjunction with the accompanying drawings.

[0063] The embodiment of the present application discloses a security monitoring method for intelligent building engineering.

[0064] A security monitoring method for building intelligent engineering includes the following steps:

[0065] Reference Figure 1 , step S1, collects and inputs information of construction workers on the construction site to be tested to obtain a construction worker information data set. Step S1 specifically includes the following sub-steps:

[0066] Step S11, obtaining an image acquisition device and establishing a signal connection between the image acquisition device and the image acquisition device to be tested, and collecting and inputting facial information of construction workers on the construction site to be tested based on the image acquisition device to obtain facial information of authorized personnel.

[0067] Step S12, acquiring a fingerprint sensor and establishing a signal connection between the fingerprint sensor and the construction site to be tested, and collecting and inputting fingerprint information of construction workers on the construction site to be tested based on the fingerprint sensor to obtain fingerprint information of authorized personnel.

[0068] Step S13, collecting information about the positions of construction workers on the construction site to be tested to obtain the authorized position information of each construction worker. For example, the positions of construction workers can be divided into steel bar workers, concrete workers, painters, carpenters, plasterers, mechanical repairmen, plumbers, welders, scaffolders, handymen, plumbers, etc.

[0069] Step S14, creating a personal information dataset of each construction worker on the construction site to be tested based on the authorized personnel's facial information, authorized personnel's fingerprint information and authorized personnel's position information, wherein the personal information datasets of all construction workers on the construction site to be tested are combined to form a construction worker information dataset.

[0070] Reference Figure 1 Step S2, dividing the construction site to be tested into regions to obtain construction site region division results. Step S2 specifically includes the following sub-steps:

[0071] Step S21, preliminarily divide the construction site to be tested according to its functions to obtain a preliminary division result of the construction site, wherein the preliminary division result of the construction site includes a construction area, an office management area, a living activity area, and an auxiliary operation area.

[0072] Step S22, based on the construction content of each area in the preliminary division result of the construction site, further divide each area in the preliminary division result of the construction site to obtain the construction site area division result. Among them, the construction area includes the foundation construction area, the main structure construction area, the decoration and renovation construction area, the electromechanical installation area, and the waterproof construction area. The office management area includes the project management office, the conference room, the data room, and the rest area. The living activity area includes the dormitory area, the canteen, the bathroom, and the entertainment facilities. The auxiliary operation area includes the temporary processing area, the equipment maintenance area, the material storage area, and the waste recycling area.

[0073] Reference Figure 1 , step S3, detect the real-time position of each construction worker on the construction site to be tested to obtain real-time personnel position information, judge the danger level of each construction worker's position based on the real-time personnel position information to obtain the real-time position danger coefficient AS, judge the activity content information of each construction worker according to the personnel work and rest time information, judge whether the real-time personnel position information of each construction worker matches the activity content information, and obtain the personnel position matching influence coefficient AP. Step S3 specifically includes the following sub-steps:

[0074] Step S31, photographing the faces of the construction workers on the construction site to be tested to obtain facial image information, matching the facial image information with the facial information of the authorized person, and outputting a facial matching consistency result if the facial image information matches the facial information of the authorized person.

[0075] Step S32, the fingerprints of the construction workers on the construction site to be tested are detected and identified to obtain fingerprint detection information, and the fingerprint detection information is matched with the fingerprint information of the authorized personnel. If the fingerprint detection information matches the fingerprint information of the authorized personnel, a fingerprint matching result is output.

[0076] Step S33, obtaining a logic OR gate and establishing a signal connection between the logic OR gate and the construction site to be tested, and outputting a successful identity recognition result based on the logic OR gate receiving a consistent facial match result or a consistent fingerprint match result.

[0077] Step S34, based on the successful result of identity recognition, the position of each construction worker on the construction site to be tested is detected in real time to obtain the real-time personnel position information of each construction worker.

[0078] Step S35, determining the object falling risk at the location of each construction worker based on the real-time personnel position information of each construction worker to obtain the object falling risk coefficient AR.

[0079] Let's take an example to illustrate: if the construction progress on the construction site to be tested is the completion of the main structure construction, the object falling hazard coefficient AR when the construction workers are outside the construction building and the distance between the construction workers and the construction building is within the set safety distance is greater than the object falling hazard coefficient AR when the construction workers are inside the construction building.

[0080] Step S36, determining the risk of falling from a height at the location of each construction worker based on the real-time location information of each construction worker to obtain a height-falling risk coefficient AZ.

[0081] Let's take an example to illustrate: if the construction progress on the construction site to be tested is the completion of the main structure construction, the height fall hazard factor AZ when the construction workers are on the high-rise scaffolding outside the construction building is greater than the height fall hazard factor AZ when the construction workers are inside the construction building.

[0082] Step S37, according to the object falling risk coefficient AR and the height falling risk coefficient AZ, based on the position risk relationship function AS=a1×AR+a2×AZ, calculate the real-time position risk coefficient AS, wherein a1 and a2 are proportional factors and are both greater than 0.

[0083] Step S38, obtaining the work and rest schedule of each construction worker on the construction site to be tested to obtain personnel work and rest schedule information, and determining the activity content information of each construction worker on the construction site to be tested based on the personnel work and rest schedule information of each construction worker on the construction site to be tested and the authorized personnel position information.

[0084] Let's take an example to illustrate: for example, the work of a scaffolder is mainly to erect and dismantle scaffolds on construction sites. If the authorized person's position information is a scaffolder and the person's work and rest time information is working hours, then the scaffolder's activity content information is the erection or dismantling of scaffolds.

[0085] Step S39, based on the activity content information of each construction worker and the construction site area division results, determine the suitable existence area of ​​each construction worker, match the suitable existence area of ​​each construction worker with the real-time personnel location information corresponding to the construction worker, and determine whether the real-time personnel location information of the construction worker is within the suitable existence area. If it is within the suitable existence area, the personnel position matching influence coefficient AP is 0, and if it is not within the suitable existence area, the personnel position matching influence coefficient AP is 1.

[0086] In specific applications, facial photography and fingerprint detection and identification are performed on each construction worker on the construction site to be tested, and the identity of the personnel on the construction site to be tested is performed, thereby improving the accuracy of personnel identity identification. After successful identity identification, the position of each construction worker is detected in real time to obtain real-time personnel position information, and the object falling risk factor AR and the height falling risk factor AZ of each construction worker's position are judged based on the real-time personnel position information, and then the real-time position risk factor AS is obtained, thereby improving the detection accuracy of the construction worker's real-time position risk factor AS, and based on the personnel work and rest time information of each construction worker and the authorized personnel position information, the activity content information of each construction worker is determined, and then it is judged whether each construction worker is in a suitable area to exist, and the personnel position matching influence coefficient AP is obtained, which provides data support for subsequent safety detection of construction workers, thereby improving the security monitoring efficiency of building intelligent projects.

[0087] Reference Figure 1 Step S4, based on the construction site area division result, detect the impact of the construction environment of each area on the personal safety of construction workers to obtain the construction environment impact coefficient BV of each area. Step S4 specifically includes the following sub-steps:

[0088] Step S41, based on the construction site area division result, obtain a noise detector and install the noise detector in each area of ​​the construction site to be tested, and obtain regional noise information of each area by real-time detection of noise in each area of ​​the construction site to be tested by the noise detector.

[0089] Step S42, compare the regional noise information of each area with the preset human noise tolerance threshold information respectively. If the regional noise information is greater than the preset human noise tolerance threshold information, then calculate the difference between the regional noise information and the preset human noise tolerance threshold information to obtain a noise difference value, and judge the impact of the noise of each area on the personal safety of construction workers in each area based on the noise difference value to obtain a noise risk coefficient BZ, wherein the greater the noise difference value, the greater the noise risk coefficient BZ. If the regional noise information is less than or equal to the preset human noise tolerance threshold information, the noise risk coefficient BZ is 0.

[0090] Step S43, based on the construction site area division result, obtain a dust monitor and install the dust monitor in each area of ​​the construction site to be tested, and obtain the particle concentration information of each area by real-time detection of the dust concentration in each area of ​​the construction site to be tested by the dust monitor.

[0091] Step S44, compare the particle concentration information of each area with the preset particle concentration threshold. If the particle concentration information is greater than the preset particle concentration threshold, calculate the difference between the particle concentration information and the preset particle concentration threshold to obtain the particle concentration difference. Based on the particle concentration difference, determine the impact of the particle concentration of each area on the personal safety of construction workers in each area to obtain the particle hazard coefficient BK, wherein the larger the particle concentration difference, the larger the particle hazard coefficient BK. If the particle concentration information is less than or equal to the preset particle concentration threshold, the particle hazard coefficient BK is 0.

[0092] Step S45, according to the noise hazard coefficient BZ and the particulate matter hazard coefficient BK, based on the construction environment hazard relationship function BV=b1×BZ+b2×BK, the construction environment impact coefficient BV of each area of ​​the construction site to be tested is calculated, wherein b1 and b2 are proportional factors and are both greater than 0.

[0093] Reference Figure 1 Step S5, based on the construction site area division result, detect the impact of the meteorological environment of each area on the personal safety of construction workers to obtain the meteorological environment impact coefficient CY of each area. Step S5 specifically includes the following sub-steps:

[0094] Step S51, based on the construction site area division result, determine the impact of the meteorological environment on the locations of each area of ​​the construction site to be measured, and obtain the meteorological impact weight ratio p of each area.

[0095] Let's take an example to illustrate: for example, if the construction progress on the construction site to be tested is the completion of the main structure construction, the meteorological impact weight ratio p when the construction workers are located inside the main structure of the construction building is smaller than the meteorological impact weight ratio p when the construction workers are located outside the main structure of the construction building.

[0096] Step S52, real-time detection of the meteorological environment of the construction site to be tested to obtain meteorological environment information, the meteorological environment information including wind speed information, wind force information, and rainfall intensity information.

[0097] Step S53, based on the wind speed information, determine the impact of the wind speed on the construction site to be tested on the personal safety of construction workers to obtain a wind speed impact coefficient CS, wherein the greater the wind speed, the greater the wind speed impact coefficient CS.

[0098] Step S54, based on the wind information, determine the impact of the wind force on the construction site to be tested on the personal safety of construction workers to obtain a wind force impact coefficient CL, wherein the greater the wind force, the greater the wind force impact coefficient CL.

[0099] Step S55, based on the rainfall intensity information, determine the impact of the rainfall intensity on the construction site to be tested on the personal safety of construction workers to obtain the rainfall intensity impact coefficient CJ. When there is no rainfall on the construction site to be tested, the rainfall intensity impact coefficient CJ is 0, wherein the greater the rainfall intensity, the greater the rainfall intensity impact coefficient CJ.

[0100] Step S56, according to the location meteorological impact weight ratio p, wind speed impact coefficient CS, wind force impact coefficient CL and rainfall intensity impact coefficient CJ, based on the meteorological environment hazard relationship function CQ=p×(c1×CS+c2×CL+c3×CJ), the meteorological environment impact coefficient CY of each area of ​​the construction site to be tested is calculated, where c1, c2, and c3 are proportional factors and are all greater than 0.

[0101] Reference Figure 1 , step S6, according to the real-time personnel position information of each construction worker, the construction environment impact coefficient BV of each area and the meteorological environment impact coefficient CY of each area, determine the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY' of each construction worker, and according to the real-time position danger coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY', obtain the activity danger coefficient W of the construction worker. Step S6 specifically includes the following sub-steps:

[0102] Step S61, based on the real-time personnel location information of each construction worker and the construction environment impact coefficient BV of each area, the construction environment impact coefficient BV of the area where each construction worker is located is recorded as the personnel construction environment impact coefficient BV'.

[0103] Step S62: based on the real-time personnel location information of each construction worker and the meteorological environment impact coefficient CY of each area, the meteorological environment impact coefficient CY of the area where each construction worker is located is recorded as the personnel meteorological environment impact coefficient CY'.

[0104] Step S63, according to the real-time position hazard coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment influence coefficient BV' and the personnel meteorological environment influence coefficient CY', based on the personnel hazard relationship function W = ξ1×AS+ξ2×AP+ξ3×BV'+ξ4×CY', calculation is performed to obtain the activity hazard coefficient W of each construction worker in the construction site to be tested, wherein ξ1, ξ2, ξ3, ξ4 are proportional factors and are all greater than 0.

[0105] Reference Figure 1Step S7, according to the activity risk factor W of the construction workers on the construction site to be tested, it is determined whether there are construction workers in danger on the construction site to be tested, and if so, a personnel danger signal is output, and the personnel danger signal is sent to the background monitoring system to rescue the construction workers in danger. Step S7 specifically includes the following sub-steps:

[0106] Step S71, comparing the activity risk coefficient W of each construction worker with a preset activity risk threshold W' to obtain a risk coefficient comparison result.

[0107] Step S72, based on the comparison result of the danger coefficient, if the construction worker's activity danger coefficient W is less than the preset activity danger threshold W', it is determined that the construction worker is not in danger; if the construction worker's activity danger coefficient W is greater than or equal to the preset activity danger threshold W', it is determined that the construction worker is in danger, and a personnel danger signal is output, and the real-time personnel location information of the construction worker is marked as dangerous personnel location information.

[0108] Step S73, obtaining a wireless communication module and establishing a signal connection link between the wireless communication module and the construction site to be tested.

[0109] Step S74: sending the personnel danger signal and the dangerous personnel location information to the background monitoring system based on the wireless communication module.

[0110] Step S75: After receiving the personnel danger signal and the dangerous personnel location information, the rescue personnel rush to the location of the dangerous construction worker to rescue him based on the dangerous personnel location information.

[0111] The embodiment of the present application also discloses a security monitoring system for intelligent building projects.

[0112] Reference Figure 2 , a building intelligent engineering security monitoring system includes:

[0113] The personnel information collection module is configured to collect and input information of construction workers on the construction site to be tested to obtain a construction worker information data set.

[0114] The area division module is configured to divide the construction site to be tested into areas to obtain construction site area division results.

[0115] The personnel location analysis module is configured to detect the real-time location of each construction worker on the construction site to be tested to obtain real-time personnel location information, judge the danger level of each construction worker's position based on the real-time personnel location information to obtain the real-time location danger coefficient AS, judge the activity content information of each construction worker according to the personnel work and rest time information, judge whether the real-time personnel location information of each construction worker matches the activity content information, and obtain the personnel location matching influence coefficient AP.

[0116] The construction environment impact analysis module is configured to detect the impact of the construction environment of each area on the personal safety of construction workers based on the construction site area division result to obtain the construction environment impact coefficient BV of each area.

[0117] The meteorological environment impact analysis module is configured to detect the impact of the meteorological environment of each area on the personal safety of construction workers based on the construction site area division results to obtain the meteorological environment impact coefficient CY of each area.

[0118] The personnel danger level analysis module is configured to determine the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY' of each construction worker based on the real-time personnel position information of each construction worker, the construction environment impact coefficient BV of each area, and the meteorological environment impact coefficient CY of each area, and obtain the construction worker's activity danger coefficient W based on the real-time position danger coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY'.

[0119] The communication rescue module is configured to determine whether there are construction workers in danger on the construction site to be tested based on the activity risk coefficient W of the construction workers on the construction site to be tested. If so, it outputs a personnel danger signal and sends the personnel danger signal to the background monitoring system to rescue the construction workers in danger.

[0120] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A security monitoring method for intelligent building engineering, characterized in that: The following steps are involved: Collect and input information of construction workers on the construction site to be tested to obtain a construction worker information data set; Divide the construction site to be tested into regions to obtain a construction site region division result; Detect the real-time position of each construction worker on the construction site to be tested to obtain real-time personnel position information, determine the danger level of each construction worker's position based on the real-time personnel position information to obtain the real-time position danger coefficient AS, determine the activity content information of each construction worker based on the personnel work and rest time information, determine whether the real-time personnel position information of each construction worker matches the activity content information, and obtain the personnel position matching influence coefficient AP; Based on the results of the construction site area division, the impact of the construction environment in each area on the personal safety of construction workers is detected to obtain the construction environment impact coefficient BV of each area; Based on the construction site area division results, the impact of the meteorological environment in each area on the personal safety of construction workers is detected to obtain the meteorological environment impact coefficient CY of each area; According to the real-time personnel position information of each construction worker, the construction environment impact coefficient BV of each area and the meteorological environment impact coefficient CY of each area, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY' of each construction worker are determined; according to the real-time position danger coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY', the activity danger coefficient W of the construction worker is obtained; According to the activity risk factor W of the construction workers on the construction site to be tested, it is determined whether there are any construction workers in danger on the construction site to be tested. If so, a personnel danger signal is output and sent to the background monitoring system to rescue the construction workers in danger.

2. A security monitoring method for intelligent building engineering according to claim 1, characterized in that: The steps of collecting and entering information of construction workers on the construction site to be tested to obtain a construction worker information data set specifically include: Acquire an image acquisition device and establish a signal connection between the image acquisition device and the image acquisition device to be tested, and acquire facial information of authorized personnel by collecting and entering facial information of construction workers on the construction site to be tested based on the image acquisition device; Acquire a fingerprint sensor and establish a signal connection between the fingerprint sensor and the construction site to be tested, and collect and input fingerprint information of construction workers on the construction site to be tested based on the fingerprint sensor to obtain fingerprint information of authorized personnel; Collect information about the positions of construction workers on the construction site to be tested to obtain the authorized personnel position information of each construction worker; A personal information dataset of each construction worker on the construction site to be tested is created based on the authorized personnel's facial information, authorized personnel's fingerprint information, and authorized personnel's position information, wherein the personal information datasets of all construction workers on the construction site to be tested are combined to form a construction worker information dataset.

3. A security monitoring method for intelligent building engineering according to claim 2, characterized in that: The step of dividing the construction site to be tested into regions to obtain the construction site region division result specifically includes: Preliminarily dividing the construction site to be tested according to its functions to obtain a preliminary division result of the construction site, wherein the preliminary division result of the construction site includes a construction area, an office management area, a living activity area, and an auxiliary operation area; Based on the construction content of each area in the preliminary division result of the construction site, each area in the preliminary division result of the construction site is further divided to obtain the regional division result of the construction site; wherein the construction area includes the foundation construction area, the main structure construction area, the decoration and renovation construction area, the mechanical and electrical installation area, and the waterproofing construction area; the office management area includes the project management office, the conference room, the data room, and the rest area; the living and activity area includes the dormitory area, the canteen, the bathroom, and the entertainment facilities; the auxiliary operation area includes the temporary processing site, the equipment maintenance area, the material storage area, and the waste recycling area.

4. A security monitoring method for intelligent building engineering according to claim 3, characterized in that: The steps of detecting the real-time position of each construction worker on the construction site to be tested to obtain real-time personnel position information, judging the danger level of each construction worker's position based on the real-time personnel position information to obtain the real-time position danger coefficient AS, judging the activity content information of each construction worker according to the personnel work and rest time information, judging whether the real-time personnel position information of each construction worker matches the activity content information, and obtaining the personnel position matching influence coefficient AP specifically include: Taking facial shots of each construction worker on the construction site to be tested to obtain facial image information, matching the facial image information with the facial information of the authorized person, and outputting a facial matching consistency result if the facial image information matches the facial information of the authorized person; Detect and identify the fingerprints of each construction worker on the construction site to be tested to obtain fingerprint detection information, match the fingerprint detection information with the fingerprint information of the authorized person, and output the fingerprint matching result if the fingerprint detection information matches the fingerprint information of the authorized person; Obtaining a logic OR gate and establishing a signal connection between the logic OR gate and the construction site to be tested, and outputting a successful identity recognition result based on the logic OR gate receiving the facial matching consistent result or the fingerprint matching consistent result; Based on the successful result of identity recognition, the positions of each construction worker on the construction site to be tested are detected in real time to obtain the real-time personnel position information of each construction worker; According to the real-time position information of each construction worker, the object falling risk at the position of each construction worker is determined to obtain the object falling risk coefficient AR; The risk of falling from a height at the location of each construction worker is determined according to the real-time location information of each construction worker to obtain a height-falling risk coefficient AZ; According to the object falling risk factor AR and the height falling risk factor AZ, the real-time position risk factor AS is calculated based on the position risk relationship function AS=a1×AR+a2×AZ, where a1 and a2 are proportional factors and are both greater than 0; Obtain the work and rest schedule of each construction worker on the construction site to be tested to obtain personnel work and rest schedule information, and determine the activity content information of each construction worker on the construction site to be tested based on the personnel work and rest schedule information of each construction worker on the construction site to be tested and the position information of the authorized personnel; Based on the activity content information of each construction worker and the results of the construction site area division, the suitable existence area of ​​each construction worker is determined, and the suitable existence area of ​​each construction worker is matched with the real-time personnel location information corresponding to the construction worker to determine whether the real-time personnel location information of the construction worker is within the suitable existence area. If it is within the suitable existence area, the personnel location matching influence coefficient AP is 0. If it is not within the suitable existence area, the personnel location matching influence coefficient AP is 1.

5. A security monitoring method for intelligent building engineering according to claim 4, characterized in that: Based on the construction site area division results, the steps of detecting the impact of the construction environment of each area on the personal safety of construction workers to obtain the construction environment impact coefficient BV of each area specifically include: Based on the construction site area division result, a noise detector is obtained and installed in each area of ​​the construction site to be tested, and the noise detector detects the noise of each area of ​​the construction site to be tested in real time to obtain regional noise information of each area; The regional noise information of each area is compared with the preset human noise tolerance threshold information. If the regional noise information is greater than the preset human noise tolerance threshold information, the difference between the regional noise information and the preset human noise tolerance threshold information is calculated to obtain a noise difference value. Based on the noise difference value, the impact of the noise in each area on the personal safety of construction workers in each area is judged to obtain a noise risk coefficient BZ. If the regional noise information is less than or equal to the preset human noise tolerance threshold information, the noise risk coefficient BZ is 0; Based on the construction site area division result, a dust monitor is obtained and installed in each area of ​​the construction site to be tested, and the dust concentration of each area of ​​the construction site to be tested is detected in real time by the dust monitor to obtain the particle concentration information of each area; The particle concentration information of each area is compared with a preset particle concentration threshold. If the particle concentration information is greater than the preset particle concentration threshold, the difference between the particle concentration information and the preset particle concentration threshold is calculated to obtain a particle concentration difference. Based on the particle concentration difference, the influence of the particle concentration of each area on the personal safety of construction workers in each area is judged to obtain a particle hazard coefficient BK. If the particle concentration information is less than or equal to the preset particle concentration threshold, the particle hazard coefficient BK is 0. According to the noise hazard coefficient BZ and the particulate matter hazard coefficient BK, the construction environment impact coefficient BV of each area of ​​the construction site to be tested is calculated based on the construction environment hazard relationship function BV=b1×BZ+b2×BK, where b1 and b2 are proportional factors and are both greater than 0.

6. A security monitoring method for intelligent building engineering according to claim 5, characterized in that: Based on the construction site area division results, the steps of detecting the impact of the meteorological environment of each area on the personal safety of construction workers to obtain the meteorological environment impact coefficient CY of each area specifically include: Based on the construction site area division result, the position of each area of ​​the construction site to be tested is judged for the influence of the meteorological environment on each area of ​​the construction site to be tested, and the meteorological influence weight ratio p of each area is obtained; Real-time detection of the meteorological environment of the construction site to be tested to obtain meteorological environment information, wherein the meteorological environment information includes wind speed information, wind force information, and rainfall intensity information; Based on the wind speed information, the influence of the wind speed on the construction site to be tested on the personal safety of the construction workers is determined to obtain the wind speed influence coefficient CS, wherein the greater the wind speed, the greater the wind speed influence coefficient CS; Based on the wind information, the influence of the wind force on the construction site to be tested on the personal safety of the construction workers is determined to obtain the wind force influence coefficient CL, wherein the greater the wind force, the greater the wind force influence coefficient CL; Based on the rainfall intensity information, the influence of the rainfall intensity on the construction site to be tested on the personal safety of the construction workers is determined to obtain the rainfall intensity influence coefficient CJ. When there is no rainfall on the construction site to be tested, the rainfall intensity influence coefficient CJ is 0. The greater the rainfall intensity, the greater the rainfall intensity influence coefficient CJ. According to the location meteorological impact weight ratio p, wind speed influence coefficient CS, wind force influence coefficient CL and rainfall intensity influence coefficient CJ, the meteorological environment impact coefficient CY of each area of ​​the construction site to be tested is calculated based on the meteorological environment hazard relationship function CQ=p×(c1×CS+c2×CL+c3×CJ), where c1, c2, and c3 are proportional factors and are all greater than 0.

7. A security monitoring method for intelligent building engineering according to claim 6, characterized in that: The steps of determining the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY' of each construction worker according to the real-time personnel position information of each construction worker, the construction environment impact coefficient BV of each area, and the meteorological environment impact coefficient CY of each area, and obtaining the activity risk coefficient W of the construction worker according to the real-time position risk coefficient AS, the personnel position matching impact coefficient AP, the personnel construction environment impact coefficient BV', and the personnel meteorological environment impact coefficient CY', specifically include: According to the real-time personnel location information of each construction worker and the construction environment impact coefficient BV of each area, the construction environment impact coefficient BV of the area where each construction worker is located is recorded as the personnel construction environment impact coefficient BV'; According to the real-time personnel location information of each construction worker and the meteorological environment impact coefficient CY of each area, the meteorological environment impact coefficient CY of the area where each construction worker is located is recorded as the personnel meteorological environment impact coefficient CY'; According to the real-time position hazard coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment influence coefficient BV' and the personnel meteorological environment influence coefficient CY', the activity hazard coefficient W of each construction worker in the construction site to be tested is obtained based on the personnel hazard relationship function W = ξ1×AS+ξ2×AP+ξ3×BV'+ξ4×CY', where ξ1, ξ2, ξ3, and ξ4 are proportional factors and are all greater than 0.

8. A security monitoring method for intelligent building engineering according to claim 7, characterized in that: According to the activity risk factor W of the construction workers on the construction site to be tested, it is judged whether there are construction workers in danger on the construction site to be tested, and if so, a personnel danger signal is output, and the personnel danger signal is sent to the background monitoring system, and the steps of rescuing the construction workers in danger specifically include: Compare the activity risk factor W of each construction worker with the preset activity risk threshold W' to obtain a risk factor comparison result; Based on the comparison result of the danger coefficient, if the activity danger coefficient W of the construction worker is less than the preset activity danger threshold W', it is determined that the construction worker is not in danger; if the activity danger coefficient W of the construction worker is greater than or equal to the preset activity danger threshold W', it is determined that the construction worker is in danger, a personnel danger signal is output, and the real-time personnel location information of the construction worker is marked as dangerous personnel location information; Acquire a wireless communication module and establish a signal connection link between the wireless communication module and the construction site to be tested; Sending the personnel danger signal and the dangerous personnel location information to the background monitoring system based on the wireless communication module; After receiving the personnel danger signal and the dangerous personnel location information, the rescue personnel rush to the location of the dangerous construction worker to rescue him based on the dangerous personnel location information.

9. A building intelligent engineering security monitoring system, characterized in that: The building intelligent engineering security monitoring system is used to implement the building intelligent engineering security monitoring method described in any one of claims 1 to 8, comprising: A personnel information collection module is configured to collect information of construction workers on the construction site to be tested and obtain a data set of construction worker information; A region division module is configured to divide the construction site to be tested into regions to obtain a construction site region division result; The personnel position analysis module is configured to detect the real-time position of each construction worker on the construction site to be tested to obtain real-time personnel position information, determine the danger level of each construction worker's position based on the real-time personnel position information to obtain the real-time position danger coefficient AS, determine the activity content information of each construction worker based on the personnel work and rest time information, determine whether the real-time personnel position information of each construction worker matches the activity content information, and obtain the personnel position matching influence coefficient AP; The construction environment impact analysis module is configured to detect the impact of the construction environment of each area on the personal safety of construction workers based on the construction site area division result to obtain the construction environment impact coefficient BV of each area; The meteorological environment impact analysis module is configured to detect the impact of the meteorological environment of each area on the personal safety of construction workers based on the construction site area division result to obtain the meteorological environment impact coefficient CY of each area; The personnel danger level analysis module is configured to determine the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY' of each construction worker according to the real-time personnel position information of each construction worker, the construction environment impact coefficient BV of each area, and the meteorological environment impact coefficient CY of each area, and obtain the activity danger coefficient W of the construction worker according to the real-time position danger coefficient AS, the personnel position matching influence coefficient AP, the personnel construction environment impact coefficient BV' and the personnel meteorological environment impact coefficient CY'; The communication rescue module is configured to determine whether there are construction workers in danger on the construction site to be tested based on the activity risk coefficient W of the construction workers on the construction site to be tested. If so, it outputs a personnel danger signal and sends the personnel danger signal to the background monitoring system to rescue the construction workers in danger.

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